Branch: Automotive
40 Hours per Week
With or without professional experience
Project description:
During the development of vehicles, different measurement data is generated in the process from a wide variety of data sources. With the rapid development of autonomous driving, the demands on data management systems have increased significantly. The enormous amounts of data generated there require new applications based on Big Data technologies. Cloud technologies are used to ensure the necessary scaling.
Tasks:
- Close collaboration with data scientists, data engineers and product owners to realize technically demanding cloud applications
- Development of modern backend and frontend applications to improve the data analytics process
- Provision and improvement of our Cloud Infrastructure in AWS/Azure with services such as Docker, K8s, Kafka, Prometheus, Lambda, Airflow or the ELK stack
- Conception, implementation and further development of a sustainable software architecture by applying a professional software development process
- Design and implementation of REST APIs for communication with internal and external services
Skills:
- Completed studies in computer science or a comparable course of study
- Relevant practical experience in professional software development (Version Control, CI/CD, Code Reviews, Scrum)
- Profound experience in at least one backend language - such as Java Spring, Scala or Python - as well as a frontend framework such as Angular or React
- Basic knowledge in the deployment of microservices (Docker, Jenkins, Kubernetes)
- Independent and ambitious learning of unknown technologies, tools, programming languages and frameworks
- Confident knowledge of German and English
We offer:
Professional further education
360° support, including assistance with dealing with authorities, finding accommodation, etc.
Regular feedback meetings
Individual career planning
Collegial and friendly working atmosphere
30 days vacation and flexible holiday planning
Award as Kununu TOP Company